NiftiMapsMasker Class for masking of Niimg-like objects. NiftiMapsMasker is useful when data from overlapping volumes should be extracted (contrarily to :class:`nilearn.maskers.NiftiLabelsMasker`). Use case: Summarize brain signals from large-scale networks obtained by prior PCA or :term:`ICA`. Note that, Inf or NaN present in the given input images are automatically put to zero rather than considered as missing data.
This reports shows the spatial maps provided to the mask.
The masker has 64 spatial maps in total.
Parameters
| Parameter | Value |
|---|---|
| allow_overlap | True |
| detrend | False |
| dtype | None |
| high_pass | None |
| high_variance_confounds | False |
| keep_masked_maps | True |
| low_pass | None |
| maps_img | /home/dsutterlin/projects/resting_state_hypnosis/resting_state_hypnosis/atlases/atlas_difumo64/64difumo2mm_maps.nii.gz |
| mask_img | <class 'nibabel.nifti1.Nifti1Image'> data shape (91, 109, 91) affine: [[ -2. 0. 0. 90.] [ 0. 2. 0. -126.] [ 0. 0. 2. -72.] [ 0. 0. 0. 1.]] metadata: <class 'nibabel.nifti1.Nifti1Header'> object, endian='<' sizeof_hdr : 348 data_type : b'' db_name : b'' extents : 0 session_error : 0 regular : b'' dim_info : 0 dim : [ 3 91 109 91 1 1 1 1] intent_p1 : 0.0 intent_p2 : 0.0 intent_p3 : 0.0 intent_code : none datatype : uint8 bitpix : 8 slice_start : 0 pixdim : [-1. 2. 2. 2. 1. 1. 1. 1.] vox_offset : 0.0 scl_slope : nan scl_inter : nan slice_end : 0 slice_code : unknown xyzt_units : 0 cal_max : 0.0 cal_min : 0.0 slice_duration : 0.0 toffset : 0.0 glmax : 0 glmin : 0 descrip : b'' aux_file : b'' qform_code : unknown sform_code : aligned quatern_b : 0.0 quatern_c : 1.0 quatern_d : 0.0 qoffset_x : 90.0 qoffset_y : -126.0 qoffset_z : -72.0 srow_x : [-2. 0. 0. 90.] srow_y : [ 0. 2. 0. -126.] srow_z : [ 0. 0. 2. -72.] intent_name : b'' magic : b'n+1' |
| memory | Memory(location=None) |
| memory_level | 0 |
| reports | True |
| resampling_target | maps |
| smoothing_fwhm | 6 |
| standardize | False |
| standardize_confounds | True |
| t_r | None |
| verbose | 5 |